Evidence map›Paper›PMID 34211270›Full record

ArticleClinical interventions in aging2021

Cut-off Values for Lower Limb Muscle Thickness to Detect Low Muscle Mass for Sarcopenia in Older Adults.

Yoshihiro Fukumoto, Tome Ikezoe, Masashi Taniguchi, Yosuke Yamada, Shinichiro Sawano, Seigo Minani, Tsuyoshi Asai, Misaka Kimura, Noriaki Ichihashi

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Article in Clinical interventions in aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yoshihiro FukumotoDepartment of Physical Medicine and Rehabilitation, Kansai Medical University, Hirakata, Japan.ORCID 0000-0003-0516-770X
Tome IkezoeHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masashi TaniguchiHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yosuke YamadaNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.ORCID 0000-0002-4284-6317
Shinichiro SawanoRehabilitation Units, Shiga University of Medical Science Hospital, Otsu, Japan.
Seigo MinaniFaculty of Rehabilitation, Osaka Kawasaki Rehabilitation University, Kaizuka, Japan.
Tsuyoshi AsaiFaculty of Rehabilitation, Kobe Gakuin University, Kobe, Japan.
Misaka KimuraInstitute for Active Health, Kyoto University of Advanced Science, Kameoka, Japan.
Noriaki IchihashiHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0003-2508-2172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUltrasound-based prediction methods for the detection of low muscle mass for sarcopenia in older adults have been explored previously; however, the muscle that most accurately predicts it is unclear. This study aimed to clarify prediction accuracy and cut-off values for ultrasound-derived thigh and lower leg muscle thickness (MT) to detect low skeletal muscle mass index (SMI) in older adults and to estimate cut-off values based on two standard deviations (SD) below younger adult means for the corresponding muscles as an early detection tool for site-specific low muscle mass.

methodsThis study included 204 community-dwelling older (64 males, 140 females, mean age: 75.4 years) and 59 younger (31 males, 28 females, mean age: 22.3 years) adults. The MT of the rectus femoris, vastus intermedius, gastrocnemius, and soleus muscles was measured using ultrasound; SMI was measured using bioelectrical impedance analysis.

resultsThe prevalence of a low SMI among older adults was 20.3% (n=13) for males and 21.4% (n=30) for females. The receiver operating characteristic analysis revealed that the total MT for the four muscles measured presented the highest area under the curve (AUC) value to predict low SMI for males (0.849) and females (0.776). The AUC value was the highest for the total MT of the gastrocnemius and soleus muscles for males and the gastrocnemius for females (0.836, 0.748; cut-off value: 5.67 cm, 1.42 cm, respectively). Muscle-specific differences between the low SMI-predicting and SD-based cut-off values were observed. The SD-based value for the rectus femoris (1.85 cm) was substantially higher than the low SMI-predicting value (1.51 cm) in males.

conclusionUltrasound measurement of lower leg muscles may be a simple, robust measure to detect low muscle mass for sarcopenia. Additionally, cut-off values for site-specific muscle mass loss may not always agree with those for whole-limb muscle mass loss.

Indexed as

AdultAgedAged, 80 and overArea Under CurveCross-Sectional StudiesElectric ImpedanceFemaleHumansIndependent LivingLower ExtremityMaleMuscle, SkeletalPrevalenceQuadriceps MuscleReference ValuesROC Curvearea under the curvebioelectric impedanceskeletal muscleultrasound

Identifiers

PMID34211270
PMCPMC8241812

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.